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Stephen Hunter, Andrei Rosu, Kylie D. Hesketh, Ryan E. Rhodes, Christina M. Rinaldi, Wendy Rodgers, John C. Spence and Valerie Carson

characteristics. Continuous variables were checked for outliers (exceeding ± 3 SDs) and truncated where necessary. Multicollinearity was assessed among independent variables by checking variance inflation factors. For the main objective, simple linear regressions were first performed using the MIXED procedure

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Mindy Patterson, Wanyi Wang and Alexis Ortiz

females, respectively. The residuals in the dependent variable were approximately normally distributed. Multicollinearity assumptions using tolerance and variance inflation factor (VIF) were also tested. In the present study, tolerance < 0.10 or VIF > 10 was considered multicollinearity. The following

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Kari Roethlisberger, Vista Beasley, Jeffrey Martin, Brigid Byrd, Krista Munroe-Chandler and Irene Muir

analysis; sport enjoyment was the outcome variable for the second regression analysis. Before running the regression analyses we checked for multicollinearity. Multicollinearity was not evident in the regression equations as tolerance was > .10 for all variables and the Variance Inflation Factor (VIF) was

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Jakob Tarp, Anna Bugge, Niels Christian Møller, Heidi Klakk, Christina Trifonov Rexen, Anders Grøntved and Niels Wedderkopp

indication of problematic collinearity was detected (variance inflation factors did not exceed 1.92) and estimates were robust to removal of observations with standardized residuals above/below 2 SD. As the primary outcome we created a standardized composite score 25 of the cardiometabolic risk factors

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Hotaka Maeda, Chris C. Cho, Young Cho and Scott J. Strath

note, Oliver, Schluter, and Schofield ( 2011 ) introduced a similar method that modeled minute-level accelerometer data. However, this method was not included in the study as Lee and Gill’s ( 2018 ) method was able to take into account more complex data properties including the zero-inflation and

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Rebekka Pomiersky, Bastian Abel, Christian Werner, André Lacroix, Klaus Pfeiffer, Martina Schäufele and Klaus Hauer

). Model 2: Δ PAQE total at T3 − PAQE total at T1 for total study sample ( N  = 96). PAQE = Physical Activity Questionnaire for the Elderly; β = standardized regression coefficient; VIF = Variance inflation factor; TUG = Timed Up and Go; CIRS = Cumulative Illness Rating Scale; MMSE = Mini-Mental State

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Maurice Vergeer and Leon Mulder

correlated (e.g., minutes, goals and assists, position in the field), checks for multicollinearity were performed. The variance inflation factors (VIF; Cohen, Cohen, West, & Aiken, 2002 ) for both models are below the critical value of 10 (maximum VIF adoption model = 1.964, maximum VIF followers model = 4

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Tsz Lun (Alan) Chu, Tao Zhang, Katherine T. Thomas, Xiaoxia Zhang and Xiangli Gu

Endurance Run. * p  < .05. ** p  < .01. *** p  < .001. All assumptions for correct specification of the regression models were met, and no multicollinearity was observed with the diagnostics of variance inflation factors (<10), tolerance (>.10), and condition numbers (κ < 30). It is important to note that

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Jan Haut, Freya Gassmann, Eike Emrich, Tim Meyer and Christian Pierdzioch

gives some indication that success only has relative impact, and additional factors are strongly affecting the image of athletes and nations, too: For less successful countries, a single gold medal may increase international attention strongly, while more frequent winning may lead to inflation, i

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Leilani A. Madrigal, Vincenzo Roma, Todd Caze, Arthur Maerlender and Debra Hope

comparisons with the Bonferonni correction to correct for alpha inflation (e.g.,  p  <.003). The SAS-2 total score and subscales were substantially correlated with anxiety sensitivity, fear of negative evaluation, intolerance of uncertainty, and negative affect in the expected direction as evidence for